| Selective classification for deep neural networks Y Geifman, R El-Yaniv Advances in neural information processing systems (NIPS 2017), 4878-4887, 2017 | 547 | 2017 |
| SelectiveNet: A Deep Neural Network with an Integrated Reject Option Y Geifman, R El-Yaniv International Conference on Machine Learning (ICML 2019), 2019 | 323 | 2019 |
| Deep active learning over the long tail Y Geifman, R El-Yaniv arXiv preprint arXiv:1711.00941, 2017 | 144 | 2017 |
| Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers Y Geifman, G Uziel, R El-Yaniv International Conference on Learning Representations (ICLR 2019), 2018 | 123 | 2018 |
| Deep active learning with a neural architecture search Y Geifman, R El-Yaniv Thirty-third Conference on Neural Information Processing Systems (NeurIPS 2019), 2018 | 52 | 2018 |
| The Prediction Advantage: A Universally Meaningful Performance Measure for Classification and Regression R El-Yaniv, Y Geifman, Y Wiener arXiv preprint arXiv:1705.08499, 2017 | 3 | 2017 |
| Window-Based Distribution Shift Detection for Deep Neural Networks G Bar Shalom, Y Geifman, R El-Yaniv Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| Uncertainty Estimation and Its Applications in Deep Neural Networks Y Geifman Ph.D. Thesis, 2019 | 1 | 2019 |
| Distribution Shift Detection for Deep Neural Networks G Bar-Shalom, Y Geifman, R El-Yaniv arXiv preprint arXiv:2210.10897, 2022 | | 2022 |
| System and method for automated optimazation of a neural network model ELY Ran, Y Geifman, J Elial US Patent App. 17/074,878, 2022 | | 2022 |
Ran El-YanivProfessor of Computer Science, Technion - Israel Institute of Technology. Chief Scientist - Deci AI在 cs.technion.ac.il 的電子郵件地址已通過驗證
